Authors

Cristina Alaimo

Cristina Alaimo is Professor of Information Systems at ESSEC Business School, Paris, in the Department of Information Systems, Data Analytics and Operations. For fifteen years her research has traced the relation between data and socio-economic practice, arguing that data are produced rather than found. Her current work presses the claim further: through the categories, technologies, and models that produce them, data have come to make the very world they describe — composing the objects that organisations and markets act on. The claim is developed in Data Rules: Reinventing the Market Economy (MIT Press, 2024, with Jannis Kallinikos), winner of the EGOS Book Award 2025 and available open access, and in work published in Organization Science, Organization Studies, the Journal of Management Information Systems and the Journal of Information Technology. She is Senior Editor at Organization Studies and the European Journal of Information Systems, and co-founder, with Lauren Waardenburg, of Theorizing Data & AI. She was named to the Thinkers50 Radar in 2025. Trained at LSE, she lives in Paris. Writing and current work: cristinaalaimo.com.

Jannis Kallinikos

Jannis Kallinikos is Professor Emeritus of Information Systems at the London School of Economics and Political Science, London (LSE). His research focuses on the impact of data and digital technologies on organizations, economic institutions and practices. He has published widely in Management, Information Systems and Sociology journals and written several monographs including The Consequences of Information: Institutional Implications of Technological Change (Edward Elgar, 2007) and Governing Through Technology: Information Artefacts and Social Practice (Palgrave, 2011). He has together with Paul Leonardi and Bonnie Nardi co-edited Materiality and Organizing: Social Interaction in a Technological World (Oxford University Press, 2012). Since 2019, he is advisor of the Royal Swedish Academy of Sciences for the nomination of Nobel Prize candidates in Economics.